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Estimation of linkage disequilibrium in four US pig breeds

Overview of attention for article published in BMC Genomics, January 2012
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Estimation of linkage disequilibrium in four US pig breeds
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-24
Pubmed ID
Authors

Yvonne M Badke, Ronald O Bates, Catherine W Ernst, Clint Schwab, Juan P Steibel

Abstract

The success of marker assisted selection depends on the amount of linkage disequilibrium (LD) across the genome. To implement marker assisted selection in the swine breeding industry, information about extent and degree of LD is essential. The objective of this study is to estimate LD in four US breeds of pigs (Duroc, Hampshire, Landrace, and Yorkshire) and subsequently calculate persistence of phase among them using a 60 k SNP panel. In addition, we report LD when using only a fraction of the available markers, to estimate persistence of LD over distance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Colombia 1 <1%
Germany 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Spain 1 <1%
Finland 1 <1%
Unknown 116 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 29%
Student > Ph. D. Student 35 28%
Student > Master 12 10%
Student > Doctoral Student 10 8%
Student > Bachelor 5 4%
Other 14 11%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 73%
Biochemistry, Genetics and Molecular Biology 6 5%
Computer Science 3 2%
Environmental Science 2 2%
Medicine and Dentistry 2 2%
Other 5 4%
Unknown 16 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 January 2012.
All research outputs
#13,127,753
of 22,661,413 outputs
Outputs from BMC Genomics
#4,743
of 10,612 outputs
Outputs of similar age
#144,315
of 245,784 outputs
Outputs of similar age from BMC Genomics
#126
of 279 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 245,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.